# semantic-space
A basic NLP library for modelization and tokenization.
_pip install semantic-space_
## Project Details
This is a project where I collect the codes that I have written
for NLP applications. I have modularized some of the code that
I have used for [AhmetGPT](https://github.com/ahmeterdem1/ahmetgpt), and prepared
a well-structured library for similar applications. The code may be buggy, haven't
properly tested it yet. But it is there.
## Documentation
Preparation of the documentation is still in progress. However, the docstrings are
there in the code. You can check it out if you want!
Raw data
{
"_id": null,
"home_page": "https://github.com/ahmeterdem1/semantic-space",
"name": "semantic-space",
"maintainer": null,
"docs_url": null,
"requires_python": "<4.0,>=3.9",
"maintainer_email": null,
"keywords": "NLP, Natural Language Processing, library",
"author": "Ahmet Erdem",
"author_email": "ahmetblk1035@gmail.com",
"download_url": "https://files.pythonhosted.org/packages/5f/b6/e1712c9425e176042ad19a1824ae2aa9d5143f28396b5d5dfbfddb2fdeff/semantic_space-0.1.4.tar.gz",
"platform": null,
"description": "# semantic-space\n\nA basic NLP library for modelization and tokenization.\n\n_pip install semantic-space_\n\n## Project Details\n\nThis is a project where I collect the codes that I have written\nfor NLP applications. I have modularized some of the code that\nI have used for [AhmetGPT](https://github.com/ahmeterdem1/ahmetgpt), and prepared\na well-structured library for similar applications. The code may be buggy, haven't\nproperly tested it yet. But it is there.\n\n## Documentation\n\nPreparation of the documentation is still in progress. However, the docstrings are\nthere in the code. You can check it out if you want!\n\n",
"bugtrack_url": null,
"license": "MIT",
"summary": "A basic NLP library for modelization and tokenization.",
"version": "0.1.4",
"project_urls": {
"Homepage": "https://github.com/ahmeterdem1/semantic-space",
"Repository": "https://github.com/ahmeterdem1/semantic-space"
},
"split_keywords": [
"nlp",
" natural language processing",
" library"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "2a90a718faf76311734b3e7a40a3ee639a751b7366e346e0c5165b53a1510510",
"md5": "bb7ba660bdf8aed48cb47ba18985e8bf",
"sha256": "e1670706af7b26783cf04e06e67cb8efe1ee6c94d89b8bd70ece679f84178879"
},
"downloads": -1,
"filename": "semantic_space-0.1.4-py3-none-any.whl",
"has_sig": false,
"md5_digest": "bb7ba660bdf8aed48cb47ba18985e8bf",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": "<4.0,>=3.9",
"size": 15009,
"upload_time": "2024-07-05T00:06:30",
"upload_time_iso_8601": "2024-07-05T00:06:30.666252Z",
"url": "https://files.pythonhosted.org/packages/2a/90/a718faf76311734b3e7a40a3ee639a751b7366e346e0c5165b53a1510510/semantic_space-0.1.4-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "5fb6e1712c9425e176042ad19a1824ae2aa9d5143f28396b5d5dfbfddb2fdeff",
"md5": "a510a41a95d3977526c7ac8b56640f82",
"sha256": "7bcd1b7c598dee2672aeeded22cfd5ca44dd767fadb50d43cf555c72b521209c"
},
"downloads": -1,
"filename": "semantic_space-0.1.4.tar.gz",
"has_sig": false,
"md5_digest": "a510a41a95d3977526c7ac8b56640f82",
"packagetype": "sdist",
"python_version": "source",
"requires_python": "<4.0,>=3.9",
"size": 24989,
"upload_time": "2024-07-05T00:06:32",
"upload_time_iso_8601": "2024-07-05T00:06:32.274349Z",
"url": "https://files.pythonhosted.org/packages/5f/b6/e1712c9425e176042ad19a1824ae2aa9d5143f28396b5d5dfbfddb2fdeff/semantic_space-0.1.4.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-07-05 00:06:32",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "ahmeterdem1",
"github_project": "semantic-space",
"travis_ci": false,
"coveralls": false,
"github_actions": false,
"lcname": "semantic-space"
}